Mutation-Based Adversarial Attacks on Neural Text Detectors

11 February 2023

Papers citing "Mutation-Based Adversarial Attacks on Neural Text Detectors"

7 / 7 papers shown

Title
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors Ying Zhou Ben He Le Sun DeLMO 34 1 0 13 Jun 2024
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors Liam Dugan Alyssa Hwang Filip Trhlik Josh Magnus Ludan Andrew Zhu Hainiu Xu Daphne Ippolito Christopher Callison-Burch DeLMO AAML 33 41 0 13 May 2024
Efficient Black-Box Adversarial Attacks on Neural Text Detectors Vitalii Fishchuk Daniel Braun AAML DeLMO 10 4 0 03 Nov 2023
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions Junchao Wu Shu Yang Runzhe Zhan Yulin Yuan Derek F. Wong Lidia S. Chao DeLMO 24 23 0 23 Oct 2023
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News Tharindu Kumarage Amrita Bhattacharjee Djordje Padejski Kristy Roschke Dan Gillmor Scott W. Ruston Huan Liu Joshua Garland DeLMO 16 9 0 06 Sep 2023
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016